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compared to the ground truth but again, looking at the overlay with the sample image, the algorithm has included tumor cells in the segmentation. Image Anal. 35, – () 4. Wu, H.S., Xu, R., Harpaz, N., et al.: Segmentation of intestinal gland images with iterative region growing. J. Microsc. (3), – (). Development of such a method will be the main goal of our future works and the first step to the development of software for fast processing of wood sample images dedicated for dendrochronological measurements. Acknowledgement. This work was co-financed by the Lodz University of Technology, Faculty of Electrical.
When all the sample images are blurred to this optimal range, the recognition performance reaches the best. A pre-processing scheme is also Bovic, A.C., Clark, M., Geisler, W.S.: Multichannel texture analysis using localized spatial filters. IEEE Trans. Pattern Anal. Mach. Intell. 12(1), 55–73 () 4. Manjunath, B.S.